Christian Rupprecht

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Splatter Image: Ultra-Fast Single-View 3D Reconstruction.

[BibT_eX]

[DOI]

Stanislaw Szymanowicz

CoRR, 2023

Scene-Conditional 3D Object Stylization and Composition.

[BibT_eX]

[DOI]

CoRR, 2023

Visual Geometry Grounded Deep Structure From Motion.

[BibT_eX]

[DOI]

CoRR, 2023

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

S4C: Self-Supervised Semantic Scene Completion with Neural Fields.

[BibT_eX]

[DOI]

CoRR, 2023

HowToCaption: Prompting LLMs to Transform Video Annotations at Scale.

[BibT_eX]

[DOI]

CoRR, 2023

CoTracker: It is Better to Track Together.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Temperature Schedules for self-supervised contrastive methods on long-tail data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation.

[BibT_eX]

[DOI]

Aleksandar Shtedritski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment.

[BibT_eX]

[DOI]

Jianyuan Wang

David Novotný

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data.

[BibT_eX]

[DOI]

Stanislaw Szymanowicz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What does CLIP know about a red circle? Visual prompt engineering for VLMs.

[BibT_eX]

[DOI]

Aleksandar Shtedritski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MagicPony: Learning Articulated 3D Animals in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Behind the Scenes: Density Fields for Single View Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RealFusion 360° Reconstruction of Any Object from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PC<sup>2</sup>: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction.

[BibT_eX]

[DOI]

Luke Melas-Kyriazi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continual Detection Transformer for Incremental Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

VTC: Improving Video-Text Retrieval with User Comments.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

De-rendering 3D Objects in the Wild.

[BibT_eX]

[DOI]

Felix Wimbauer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.

[BibT_eX]

[DOI]

Laurynas Karazija

Iro Laina

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Part Discovery from Contrastive Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PASS: An ImageNet replacement for self-supervised pretraining without humans.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neural Response Interpretation Through the Lens of Critical Pathways.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Labelling unlabelled videos from scratch with multi-modal self-supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-labelling via simultaneous clustering and representation learning.

[BibT_eX]

[DOI]

Yuki Markus Asano

Proceedings of the 8th International Conference on Learning Representations, 2020

A critical analysis of self-supervision, or what we can learn from a single image.

[BibT_eX]

[DOI]

Yuki Markus Asano

Proceedings of the 8th International Conference on Learning Representations, 2020

Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Cyril Ibrahim

Christopher J. Pal

Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semantic Image Manipulation Using Scene Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Traffic4cast-Traffic Map Movie Forecasting - Team MIE-Lab.

[BibT_eX]

[DOI]

CoRR, 2019

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images.

[BibT_eX]

[DOI]

CoRR, 2019

Surprising Effectiveness of Few-Image Unsupervised Feature Learning.

[BibT_eX]

[DOI]

Yuki Markus Asano

CoRR, 2019

Graph-ResNets for short-term traffic forecasts in almost unknown cities.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Unsupervised Image Captioning With Shared Multimodal Embeddings.

[BibT_eX]

[DOI]

Iro Laina

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning under Ambiguity through Multiple Predictions.

[BibT_eX]

[DOI]

PhD thesis, 2018

Learning without prejudice: Avoiding bias in webly-supervised action recognition.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2018

Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data.

[BibT_eX]

[DOI]

CoRR, 2018

Incremental Adversarial Learning for Optimal Path Planning.

[BibT_eX]

[DOI]

Salvatore Virga

Christoph Hennersperger

CoRR, 2018

Understanding Regularization to Visualize Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Guide Me: Interacting With Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dealing with Ambiguity in Robotic Grasping via Multiple Predictions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Learning to Imagine Manipulation Goals for Robot Task Planning.

[BibT_eX]

[DOI]

CoRR, 2017

Concurrent Segmentation and Localization for Tracking of Surgical Instruments.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Active Contours.

[BibT_eX]

[DOI]

CoRR, 2016

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Hands-Free Segmentation of Medical Volumes via Binary Inputs.

[BibT_eX]

[DOI]

Florian Dubost

Loïc Peter

Benjamín Gutiérrez-Becker

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Sensor substitution for video-based action recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Deeper Depth Prediction with Fully Convolutional Residual Networks.

[BibT_eX]

[DOI]

Iro Laina

Vasileios Belagiannis

Federico Tombari

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests.

[BibT_eX]

[DOI]

CoRR, 2015

Robust Optimization for Deep Regression.

[BibT_eX]

[DOI]

Vasileios Belagiannis

Gustavo Carneiro

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image segmentation in Twenty Questions.

[BibT_eX]

[DOI]

Loïc Peter